Facial recognition is a category of bio-metric software that maps an individual's facial features mathematically and stores the data as a face-print.

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2. Presented By
Servants of Allah
ْ‫ل‬ُ‫ق‬َْ‫ل‬‫ه‬َ‫أ‬ٰٓ‫ي‬ِْ‫ب‬‫ت‬ِ‫ك‬‫ال‬‫ا‬‫و‬َ‫ل‬‫ا‬َ‫ع‬َ‫ت‬‫ى‬‫ل‬ِ‫إ‬ْ‫ة‬َ‫م‬ِ‫ل‬َ‫ك‬ْ‫ٰٓء‬‫ا‬َ‫و‬َ‫س‬‫ا‬َ‫ن‬َ‫ن‬‫ي‬َ‫ب‬ْ‫ي‬َ‫ب‬َ‫و‬ْ‫ُم‬‫ك‬َ‫ن‬َْ‫ّل‬َ‫أ‬َْ‫د‬ُ‫ب‬‫ع‬َ‫ن‬َْ‫ّل‬ِ‫إ‬َْ َ‫اّلل‬َْ‫ّل‬َ‫و‬َْ‫ك‬ ِ‫ر‬‫ش‬ُ‫ن‬ِْ‫ه‬ِ‫ب‬‫ۦ‬‫ا‬ًٔ‫ـ‬‫َي‬‫ش‬َْ‫ّل‬َ‫و‬َْ‫ذ‬ ِ‫خ‬َ‫ت‬َ‫ي‬
‫ا‬َ‫ن‬ُ‫ض‬‫ع‬َ‫ب‬‫ًا‬‫ض‬‫ع‬َ‫ب‬‫ا‬ً‫ب‬‫ا‬َ‫ب‬‫ر‬َ‫أ‬‫ن‬ِ‫م‬ِْ‫ُون‬‫د‬ِْ َ‫اّلل‬ْۚ‫ن‬ِ‫إ‬َ‫ف‬‫ا‬‫و‬َ‫ل‬َ‫و‬َ‫ت‬‫وا‬ُ‫ل‬‫و‬ُ‫ق‬َ‫ف‬‫ا‬‫ُوا‬‫د‬َ‫ه‬‫ش‬‫ا‬َ‫ن‬َ‫أ‬ِ‫ب‬َْ‫ون‬ُ‫م‬ِ‫ل‬‫س‬ُ‫م‬
Say, "O People of the Scripture, come to a word that is equitable
between us and you - that we will not worship except Allah and not
associate anything with Him and not take one another as lords instead of
Allah ." But if they turn away, then say, "Bear witness that we are
Muslims [submitting to Him].“ (Quran; 3:63)

3. FACE DETECTION AND RECOGNITION
FACE DETECTION AND RECOGNITION
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4. FACE RECOGNITION SYSTEMS ?
Facial recognition is a category of biometric
software that maps an individual's facial
features mathematically and stores the
data as a faceprint.
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5. FACE DETECTION SYSTEMS ?
Face detection is a computer technology being used in a variety of applications
that identifies human faces in digital images. Face detection also refers to the
psychological process by which humans locate and attend to faces in a visual
scene.
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6. HISTORY
 First research into this area dates back to the 1960's.
 The researcher gathered a face database of 30
Individuals consisting of over 450 facial images to
test fully automated face detection.
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7.  It is only very recently that the acceptable results have been obtained.
 Face recognition is an area of active research now a days!
 They perform face recognition, an extremely complex visual task at past.
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8. APPROACHES FOR IMPLEMENTATION !
 Different approaches to the problems of face detection and face recognition were evaluated.
 Mainly five systems were proposed to implement this.
 They used the Matlab technical computing language.
 A deformable template algorithm based on image invariants was used.
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9. PROBLEM SCOPE AND SYSTEM SPECIFICATIONS
 A system to detect frontal view faces in static images
 A system to recognize a given frontal view face
 All systems must posses near real-time performance.
 Both fully automated and manual face detection must be supported.
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10. APPLICATION
 Payments
 Access and security
 Criminal identification
 Advertising
 Healthcare
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11. FUTURE OF THIS SYSTEM
 In future this system will be used in other avenues such as-
- ATMs,
- Accessing confidential files, or other sensitive materials.
 The innovators are looking to implement facial recognition. The purposes are:
- Subways and
- Transportation outlets.
- Use faces as credit cards to pay for the transportation fees.
 This can make other security measures .
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12. Will Facial Recognition Technology Improve Security?
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13. CONCLUSION
The most suitable real-world applications for face detection and recognition systems are for
image matching and surveillance. There are better techniques such as iris or retina recognition
and face recognition using the thermal spectrum for user access and user verification
applications since these need a very high degree of accuracy.
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